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Approaches to Studying Measurement Invariance in Multilevel Data with a Level-1 Grouping Variable

Abstract Measurement invariance exists when a scale functions equivalently across people and is therefore essential for making meaningful group comparisons. Often, measurement invariance is examined with independent and identically distributed data; however, there are times when the participants are clustered within units, creating dependency in the data. Researchers have taken different approaches to address this dependency when studying measurement invariance (e.g., Kim, Kwok, & Yoon, 2012; Ryu, 2014; Kim, Yoon, Wen, Luo, & Kwok, 2015), but there are no comparisons of the various approaches. The purpose of this master's thesis was to investigate measurement invariance in multilevel data when the grouping variable was a level-1 variable... (more)
Created Date 2016
Contributor Gunn, Heather Joanne (Author) / Grimm, Kevin J (Advisor) / Aiken, Leona S (Committee member) / Suk, Hye Won (Committee member) / Arizona State University (Publisher)
Subject Quantitative psychology / definition variable / measurement invariance / multigroup multilevel CFA / multilevel / multilevel MIMIC
Type Masters Thesis
Extent 96 pages
Language English
Reuse Permissions All Rights Reserved
Note Masters Thesis Psychology 2016
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis